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AI Planning
Prof. Dr. Jörg Hoffmann
,
Dr. Daniel Fišer
,
Daniel Gnad
,
Daniel Höller
Timetable
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Exam
Lecture
Projects
Tutorial
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Exam
Lecture
Projects
Tutorial
Title
Type
Location
Serial
Start
End
All Day
Lecture: Partial Delete Relaxation; Abstractions
Lecture
1
23.11.21
23.11.21
No
Lecture: Delete Relaxation Heuristics
Lecture
1
09.11.21
09.11.21
No
Lecture: Merge-and-Shrink Heuristics
Lecture
1
07.12.21
07.12.21
No
Lecture: Abstractions; Pattern Database Heuristics
Lecture
1
30.11.21
30.11.21
No
Lecture: Landmark Heuristics
Lecture
1
14.12.21
14.12.21
No
Lecture: PDDL; Applications
Lecture
1
26.10.21
26.10.21
No
Lecture: Delete Relaxation Heuristics
Lecture
1
16.11.21
16.11.21
No
Lecture: Decoupled State Space Search
Lecture
1
25.01.22
25.01.22
No
Lecture: Combining Heuristic Functions
Lecture
1
11.01.22
11.01.22
No
Lecture: Progression and Regression; Heuristic Search
Lecture
1
02.11.21
02.11.21
No
Lecture: Planning Formalisms
Lecture
2
20.10.21
20.10.21
No
Lecture: Comparing Heuristic Functions
Lecture
2
12.01.22
12.01.22
No
Lecture: Landmark Heuristics; Combining Heuristic Functions
Lecture
2
05.01.22
05.01.22
No
Lecture: Causal Graphs; Progression and Regression
Lecture
2
27.10.21
27.10.21
No
Tutorial 4
Tutorial
2
19.01.22
19.01.22
No
Lecture: Partial-Order Reduction
Lecture
2
08.12.21
08.12.21
No
Lecture: Pattern Database Heuristics
Lecture
2
01.12.21
01.12.21
No
Lecture: Partial Delete Relaxation
Lecture
2
17.11.21
17.11.21
No
Lecture: Heuristic Search; Critical Path Heuristics
Lecture
2
03.11.21
03.11.21
No
Tutorial 1
Tutorial
10.11.21
10.11.21
No
Office Hour
Projects
10.01.22
10.01.22
No
Deadline: LMcut
Projects
27.01.22
N/A
Yes
Tutorial 5
Tutorial
02.02.22
02.02.22
No
Tutorial 2
Tutorial
24.11.21
24.11.21
No
Exam Preparation
Tutorial
08.02.22
08.02.22
No
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